本文从分数布朗随机场模型的描述出发，提出并构造了一种广义多尺度分形参数，用于描述图像的纹理信息。

In this paper, a kind of generalized multiscale fractal parameter is proposed and constructed for the description of image textures, which is based on fractional Brownian random field model.

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采用传统图像检测方法存在目标区域定位不准确、目标细节信息丢失、目标形状变形等问题，本文提出一种基于离散分数布朗随机场模型的水下图像目标检测方法。

To overcome the shortcomings of traditional methods, a method of underwater image segmentation based on the discrete fractional Brownian random field was proposed to dispose underwater images.

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采用传统图像检测方法存在目标区域定位不准确、目标细节信息丢失、目标形状变形等问题，本文提出一种基于离散分数布朗随机场模型的水下图像目标检测方法。

To overcome the shortcomings of traditional methods, a method of underwater image segmentation based on the discrete fractional Brownian random field was proposed to dispose underwater images.

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